expectancy

Discussion in 'Risk Management' started by ADX_trader, Jun 30, 2003.

  1. Is the following correct?


    Win percentage 1%
    Win rate 60%

    Loss percentage 1%
    Loss rate 40%.

    expectancy = (1% x 60%) - (1% x 40%)

    The expectancy is 0.2% per trade.
     
  2. deepitm

    deepitm

    You are correct.
     
  3. Thank.

    Is 0.2% expectancy good for a day trader?
     

  4. Seems rather thin, ADX. It would not take much to upset the apple cart. But then, I'm not really the guy to ask.
     
  5. deepitm

    deepitm

    I'm not a daytrader so I can't say if it is good or not. Make sure you factor in your transaction costs. I created a table in Excel to show different win/loss rates and the associated profit factor. I also attached a chart of the same table. The line in the chart represents the breakeven point. You want to be above the line to be profitable.

    Pw = winning percentage
    PL= loosing percentage
    Aw= average win
    AL= average loss
    Win % Loss % Breakeven Aw/AL
    0.10 0.90 9.00
    0.15 0.85 5.67
    0.20 0.80 4.00
    0.25 0.75 3.00
    0.30 0.70 2.33
    0.35 0.65 1.86
    0.40 0.60 1.50
    0.45 0.55 1.22
    0.50 0.50 1.00
    0.55 0.45 0.82
    0.60 0.40 0.67
    0.65 0.35 0.54
    0.70 0.30 0.43
    0.75 0.25 0.33
    0.80 0.20 0.25
    0.85 0.15 0.18
    0.90 0.10 0.11
    0.95 0.05 0.05

    As an example, if your average win is $300 and your average loss is $100, then Aw divided by AL (also called the profit factor) is 3. From the table you would then need a winning percentage of 25% to breakeven and >25% to be profitable.

    Your original question had a 60/40 win/loss rate. From the table this would require a profit factor (Aw/AL) of 0.67 to breakeven and greater than 0.67 to be profitable. Yours was 1.0 so it is profitable.
     
  6. deepitm

    deepitm

    Here is the chart